Sensitivity of precipitation formation to secondary ice production in winter orographic mixed-phase clouds

被引:17
作者
Dedekind, Zane [1 ]
Lauber, Annika [1 ]
Ferrachat, Sylvaine [1 ]
Lohmann, Ulrike [1 ]
机构
[1] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
PART I; MICROPHYSICS PARAMETERIZATION; CRYSTAL CONCENTRATIONS; CUMULUS CLOUDS; BREAK-UP; MODEL; PREDICTION; SIMULATION; RESOLUTION; PARTICLES;
D O I
10.5194/acp-21-15115-2021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The discrepancy between the observed concentration of ice nucleating particles (INPs) and the ice crystal number concentration (ICNC) remains unresolved and limits our understanding of ice formation and, hence, precipitation amount, location and intensity. Enhanced ice formation through secondary ice production (SIP) could account for this discrepancy. Here, in a region over the eastern Swiss Alps, we perform sensitivity studies of additional simulated SIP processes on precipitation formation and surface precipitation intensity. The SIP processes considered include rime splintering, droplet shattering during freezing and breakup through ice-graupel collisions. We simulated the passage of a cold front at Gotschnagrat, a peak at 2281 m a.s.l. (above sea level), on 7 March 2019 with the Consortium for Small-scale Modeling (COSMO), at a 1 km horizontal grid spacing, as part of the RACLETS (Role of Aerosols and CLouds Enhanced by Topography and Snow) field campaign in the Davos region in Switzerland. The largest simulated difference in the ICNC at the surface originated from the breakup simulations. Indeed, breakup caused a 1 to 3 orders of magnitude increase in the ICNC compared to SIP from rime splintering or without SIP processes in the control simulation. The ICNCs from the collisional breakup simulations at Gotschnagrat were in best agreement with the ICNCs measured on a gondola near the surface. However, these simulations were not able to reproduce the ice crystal habits near the surface. Enhanced ICNCs from collisional breakup reduced localized regions of higher precipitation and, thereby, improved the model performance in terms of surface precipitation over the domain.
引用
收藏
页码:15115 / 15134
页数:20
相关论文
共 104 条
[51]   Examination of CCN impacts on hail in a simulated supercell storm with triple-moment hail bulk microphysics [J].
Loftus, A. M. ;
Cotton, W. R. .
ATMOSPHERIC RESEARCH, 2014, 147 :183-204
[52]   Persistence of orographic mixed-phase clouds [J].
Lohmann, U. ;
Henneberger, J. ;
Henneberg, O. ;
Fugal, J. P. ;
Buehl, J. ;
Kanji, Z. A. .
GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (19) :10512-10519
[53]  
Lohmann U., 2016, An Introduction to Clouds: From the Microscale to Climate, P186, DOI [10.1017/CBO9781139087513, DOI 10.1017/CBO9781139087513]
[54]   Observations of blowing snow at the South Pole [J].
Mahesh, A ;
Eager, R ;
Campbell, JR ;
Spinhirne, JD .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D22)
[55]   DEVELOPMENT OF A TURBULENCE CLOSURE-MODEL FOR GEOPHYSICAL FLUID PROBLEMS [J].
MELLOR, GL ;
YAMADA, T .
REVIEWS OF GEOPHYSICS, 1982, 20 (04) :851-875
[56]   A multimoment bulk microphysics parameterization. Part III: Control simulation of a hailstorm [J].
Milbrandt, J. A. ;
Yau, M. K. .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2006, 63 (12) :3114-3136
[57]   Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part III: Introduction of Multiple Free Categories [J].
Milbrandt, J. A. ;
Morrison, H. .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2016, 73 (03) :975-995
[58]   Sedimentation-Induced Errors in Bulk Microphysics Schemes [J].
Milbrandt, J. A. ;
McTaggart-Cowan, R. .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2010, 67 (12) :3931-3948
[59]   Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests [J].
Morrison, Hugh ;
Milbrandt, Jason A. .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2015, 72 (01) :287-311
[60]  
Morrison H, 2012, NAT GEOSCI, V5, P11, DOI [10.1038/NGEO1332, 10.1038/ngeo1332]